Investigation on biodegradability of anaerobic digested sludge

The biochemical methane potential (BMP) of different sludge, especially anaerobic digested sludge is very important for sludge management. However, this information has barely been explored comprehensively. In this project, 17 types of sludge samples were anaerobically digested to investigate their...

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Main Author: Lim, Eugene Yong Kiat
Other Authors: Zhou Yan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/145084
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1450842020-12-10T05:42:16Z Investigation on biodegradability of anaerobic digested sludge Lim, Eugene Yong Kiat Zhou Yan School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute ZhouYan@ntu.edu.sg Engineering::Environmental engineering::Water treatment The biochemical methane potential (BMP) of different sludge, especially anaerobic digested sludge is very important for sludge management. However, this information has barely been explored comprehensively. In this project, 17 types of sludge samples were anaerobically digested to investigate their biodegradability. It was found that the BMP of feed sludge (216.2 – 525.4 mL CH4/g VS) was much greater than anaerobic digested sludge (31.4 – 91.7 mL CH4/g VS), which may be clarified by the higher content of biodegradable compounds in feed sludge compared to digested sludge. In addition, with continuing anaerobic digestion (AD) of digested sludge, the methane generated gradually, suggesting the volatile substrates (VS) of digested sludge could be further reduced. Besides, conventional determination of sludge BMP using anaerobic digesters requires a long period (at least a month). Thus, the possibility of using Near Infrared Spectroscopy (NIRS) to calculate the BMP value of sludge samples with a much-compressed time was evaluated in this study. As a result, a reliable prediction model based on NIRS was established with the coefficient of determination (R2) value of 0.94, residual prediction deviation (RPD) of 4.3 and low root mean square error of cross validation (RMSECV) value of 31.1 mL CH4/g VS. This BMP prediction model is considered to be satisfactory and successfully in application, which could obtain faster and reliable BMP results. Using NIRS for management of sludge would lead to a real benefit from an industrial point of view. Bachelor of Engineering (Environmental Engineering) 2020-12-10T05:42:16Z 2020-12-10T05:42:16Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/145084 en EN-70 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Environmental engineering::Water treatment
spellingShingle Engineering::Environmental engineering::Water treatment
Lim, Eugene Yong Kiat
Investigation on biodegradability of anaerobic digested sludge
description The biochemical methane potential (BMP) of different sludge, especially anaerobic digested sludge is very important for sludge management. However, this information has barely been explored comprehensively. In this project, 17 types of sludge samples were anaerobically digested to investigate their biodegradability. It was found that the BMP of feed sludge (216.2 – 525.4 mL CH4/g VS) was much greater than anaerobic digested sludge (31.4 – 91.7 mL CH4/g VS), which may be clarified by the higher content of biodegradable compounds in feed sludge compared to digested sludge. In addition, with continuing anaerobic digestion (AD) of digested sludge, the methane generated gradually, suggesting the volatile substrates (VS) of digested sludge could be further reduced. Besides, conventional determination of sludge BMP using anaerobic digesters requires a long period (at least a month). Thus, the possibility of using Near Infrared Spectroscopy (NIRS) to calculate the BMP value of sludge samples with a much-compressed time was evaluated in this study. As a result, a reliable prediction model based on NIRS was established with the coefficient of determination (R2) value of 0.94, residual prediction deviation (RPD) of 4.3 and low root mean square error of cross validation (RMSECV) value of 31.1 mL CH4/g VS. This BMP prediction model is considered to be satisfactory and successfully in application, which could obtain faster and reliable BMP results. Using NIRS for management of sludge would lead to a real benefit from an industrial point of view.
author2 Zhou Yan
author_facet Zhou Yan
Lim, Eugene Yong Kiat
format Final Year Project
author Lim, Eugene Yong Kiat
author_sort Lim, Eugene Yong Kiat
title Investigation on biodegradability of anaerobic digested sludge
title_short Investigation on biodegradability of anaerobic digested sludge
title_full Investigation on biodegradability of anaerobic digested sludge
title_fullStr Investigation on biodegradability of anaerobic digested sludge
title_full_unstemmed Investigation on biodegradability of anaerobic digested sludge
title_sort investigation on biodegradability of anaerobic digested sludge
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/145084
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